Neurotrauma care is a race against secondary injury. In India, delays in transport, crowding in emergency departments, uneven computed tomography (CT) access and reporting, and fragmented referral pathways make timely decisions difficult. Artificial intelligence (AI) is now being offered across triage, imaging, monitoring, and documentation. In a high-stakes setting, AI should be adopted as a governed patient safety intervention, not as a substitute for clinical systems.
Ethical AI in neurotrauma begins with role clarity: clinicians remain responsible for decisions. Most tools should be deployed as triage, surveillance, or workflow support, not autonomous decision-makers. The goal is measurable improvement in timeliness and safety in real Indian workflows, without widening disparities or diluting accountability.
Declaration of GenAI UseGrammar and language check performed using ChatGPT.
Publication HistoryArticle published online:
04 May 2026
© 2026. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
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